The Causes of Death¶

Historical Data of various causes of deaths across different countries along the timeline from 1990 up until 2019,Composed of 34 Columns, covering 204 Countries from 1990-2019 with around 200,000 different datapoints, Combined with The Population by country to derive more insight into the data.







Simple Hypothesis

  • There exists a correlation between the number of deaths caused by Chronic Liver deseases and Alcohol-use disorders, since the prior is a major cause of the latter.
  • There is a continuous raise in the Road Injuries Deaths recorded on a global scale.

    • Complex Hypothesis

  • After years with a higher death rate by conflict and terrorism, the number of deaths by alcohol consumption, drug use and self harm increases in comparision to the previous year.
  • There exists a correlation between the number of deaths of Maternal / Nenonatal and Tuberculosis / Malaria, reflecting the poor health conditions.







    • The Fantastic Four

    Mohamed Abdelaziz | Ivan Drinovac | Hanna Messner | Ádám Párkányi

    Hypothesis - 1¶

    Based on the Correlation matrix plot we can deduce a moderate positive correlation between the 2 variables with a value of 0.58, the relationship was furtherly explained and reinforced by the second plot of the correlation coeffecient between the 2 variables for each country over the span of 30 years from 1990 to 2019, with the highest Positive Correlation in the US and the highest Negative Correlation in Austria.





    Hypothesis - 2¶

    Comparing the Absolute Values and The Relative Values, over the total Population, of the Fatalities due to Road Injuries showed that while the Overall Number of deaths seems to be increasing, the percentage of it to the population is evidently decreasing for different continents, mainly Africa, Asia and Europe, while staying stalled in the rest; which was reflected in the second graph of the average growth rate per country over the span of 30 years from 1990 to 2019.





    Hypothesis - 3¶

    The first graph, was used to identify the countries that suffered the highest number of fatalities due to Conflict and War, summed-up over the past 30 years; That contributed to selecting the top 7 countries in order to study the trends of the drug-abuse, alcohol-abuse and self-harm mortalities after these periods of conflict that was expressed in the next graph which showed the existence of an up-trend in some of the selected countries, but contradiction in others, which doesnot confirm or refute the hypothesis.





    Hypothesis - 4¶

    In the third graph, the Percentage of fatalities due to the Maternal Disorders, Neonatal Disorders, Tuberclosis and Malaria Diseases, showed an overall down trend over the years which can mean better health conditions around the globe, and a correlation between the variables can be concluded.































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